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May 11, 2012 | |
8 years 8 months | The re-accumulation should now work properly for down sampling (tested with data at h+40 converted to h+00 and with 10min data converted to hourly). |
Commit 864, by Mathias Bavay | |
May 10, 2012 | |
8 years 8 months | IOManager: speed optimization in the getMeteoData function |
Commit 863, by Thomas Egger | |
8 years 8 months | IOManager.cc: renamed resampled_cache to point_cache, added comments |
Commit 862, by Thomas Egger | |
8 years 8 months | Fixed some warnings (about unused variables/parameters). Added a new position for ResamplingAlgorithms: begin to describe that a point is at the begining of the data set (so we don't have to look for this condition again in the algorithm). |
Commit 861, by Mathias Bavay | |
8 years 8 months | New Resampling: cleanup of IOManager.cc: now also the rare case of IOManager::raw | IOManager::resampled is correctly handled. |
Commit 860, by Thomas Egger | |
8 years 8 months | Resampling: Cleanup of the nearest_neighbour algorithm, should now work like it used to |
Commit 859, by Thomas Egger | |
8 years 8 months | Bugfix: The new linear resampling always extrapolated at the end of the meteo data vector, this is fixed now. |
Commit 858, by Thomas Egger | |
8 years 8 months | Resampling: Adjusted the accumulate algorithm to fit the new interface TODO: verify and comment |
Commit 857, by Thomas Egger | |
8 years 8 months | Further improvements for the resampling within the Meteo1DInterpolator: no longer is an element inserted into the filtered_cache and then deleted, instead we have a MeteoData reference handed to the Interpolator representing the MeteoData element to |
Commit 856, by Thomas Egger | |
May 9, 2012 | |
8 years 8 months | Speedup in the resampling of MeteoIO, instead of always copying a resampling window we are now directly resampling on the filtered_cache. This leads to an enormous perfomance gain (slashing runtime for reading meteo data to fifth), because the cuttin |
Commit 855, by Thomas Egger | |
May 8, 2012 | |
8 years 8 months | The re-accumulation was broken and producing bogus results. Moreover, its handling of nodata was sub-optimal (assuming nodata=zero lead to artificially low measurements for very noisy stations). This has been fixed. Accumulating over periods larger t |
Commit 854, by Mathias Bavay | |
May 5, 2012 | |
8 years 8 months | One typo correction |
Commit 853, by Charles Fierz | |
May 4, 2012 | |
8 years 8 months | Checked the Passive_T filter on real data, added more flexibility to it (ie: it can compute the albedo using iswr and rswr, compute rswr from iswr and an albedo, etc) and fixed some mistakes. It now gives realistic results but a proper validation (ie |
Commit 852, by Mathias Bavay | |
May 3, 2012 | |
8 years 8 months | The Passive_T filter has been reworked and renamed as ProcPassiveT. A proper documentation has been written for it. All the cout have been replaced by cerr in order to avoid messing with the end user's application. Some old commented out code has be |
Commit 851, by Mathias Bavay | |
8 years 8 months | A new filter has been added, that corrects the measured temperatures in unventilated sensors. |
Commit 850, by Mathias Bavay | |
8 years 8 months | Outputs that were used for warnings (or information) are now done on cerr instead of cout, in order to avoid poluting the outputs of user code. Should we do the same for the exceptions? A new method, getSolarTime has been added to SunTrajectory. |
Commit 849, by Mathias Bavay | |
Apr 30, 2012 | |
8 years 8 months | Exposing the add_to_cache function globally, this way the user can push data into the IOManager that shall be used for a certain date, bypassing resampling and filtering of the IOManager. |
Commit 848, by Thomas Egger | |
Apr 17, 2012 | |
8 years 9 months | Documentation, default value for WINDOW_SIZE=10 days, small speed optimizations (1% faster!!), code cleanup to prepare the way for re-accumulation work |
Commit 847, by Mathias Bavay | |
8 years 9 months | The resampling has been deeply transformed in order to produce more consistent results. By doubling the data cut window, the resampling can now properly fill a 23 hours gap with a 24 hours window. The resampling now either fills the whole gap or do n |
Commit 846, by Mathias Bavay | |
Apr 14, 2012 | |
8 years 9 months | A new getMeteo() method has been implemented that transparently performs spatial interpolations and returns a grid for a given parameter. This should be prefered to interpolate(), since it allows the reading plugin to directly provide gridded data (s |
Commit 845, by Mathias Bavay |